#> no calculated indicators has been defined...
Enumerator Name
plot_text(datalist, dico, "group_sg8tr67.enumerator_name", datasource=params$datasource)
Organization
plot_text(datalist, dico, "group_sg8tr67.organization", datasource=params$datasource)
Do you agree to participate in this survey?
plot_select_one(datalist, dico, "group_sg8tr67.consent", datasource = params$datasource, n = 5)
——
What is your age group?
plot_select_one(datalist, dico, "group_xt46l40.age_group", datasource = params$datasource, n = 5)
What is your gender?
plot_select_one(datalist, dico, "group_xt46l40.gender", datasource = params$datasource, n = 5)
No
significant text for the question:
group_xt46l40.If_Other_Please_specifyNULL
What is your marital status?
plot_select_one(datalist, dico, "group_xt46l40.marital_status", datasource = params$datasource, n = 5)
What is your highest level of education?
plot_select_one(datalist, dico, "group_xt46l40.education_level", datasource = params$datasource, n = 5)
Household Composition:
plot_select_one(datalist, dico, "group_xt46l40.household_composition", datasource = params$datasource, n = 5)
If Other ? Pleas specify.
plot_text(datalist, dico, "group_xt46l40.HH_Composition_Other", datasource=params$datasource)
What clan do you belong to?
plot_select_one(datalist, dico, "group_xt46l40.clan", datasource = params$datasource, n = 5)
If Other ? Please specify..
plot_text(datalist, dico, "group_xt46l40.If_Other_Please_specify_001", datasource=params$datasource)
6. In which region does the household reside?
plot_select_one(datalist, dico, "group_xt46l40.region", datasource = params$datasource, n = 5)
7. In which district does the household reside?
plot_select_one(datalist, dico, "group_xt46l40.district", datasource = params$datasource, n = 5)
Who
are the individuals/groups in your community that are most vulnerable
plot_select_multiple(datalist, dico, "group_xt46l40.vulnerable_groups", datasource=params$datasource, n=5)
No
significant text for the question:
group_xt46l40.If_Others_Please_specifyNULL Select all that apply
(Women at Risk)
plot_select_multiple(datalist, dico, "group_xt46l40.vulnerable_groups_war", datasource=params$datasource, n=5)
If Others ? Please specify (For Women at Risk - Other)
plot_text(datalist, dico, "group_xt46l40.If_Others_Please_s_omen_at_Risk_Other", datasource=params$datasource)
Select all that apply (Child at Risk)
plot_select_multiple(datalist, dico, "group_xt46l40.vulnerable_groups_car", datasource=params$datasource, n=5)
If Others ? Please specify (For Child at Risk - Other)
plot_text(datalist, dico, "group_xt46l40.If_Others_Please_s_hild_at_Risk_Other", datasource=params$datasource)
Iindividuals/groups in community at risk of excluded from assistance
plot_select_multiple(datalist, dico, "group_xt46l40.at_risk_groups", datasource=params$datasource, n=5)
If Others? Please specify
plot_text(datalist, dico, "group_xt46l40.If_Others_Please_specify_001", datasource=params$datasource)
Select all that apply (Women at Risk)
plot_select_multiple(datalist, dico, "group_xt46l40.at_risk_groups_war", datasource=params$datasource, n=5)
If Others ? Please specify (For Women at Risk - Other)
plot_text(datalist, dico, "group_xt46l40.If_Others_Please_s_omen_at_Risk_Other_001", datasource=params$datasource)
Select all that apply (Child at Risk)
plot_select_multiple(datalist, dico, "group_xt46l40.at_risk_groups_car", datasource=params$datasource, n=5)
No
significant text for the question:
group_xt46l40.If_Others_Please_s_hild_at_Risk_Other_001NULL
Have these at-risk individuals/groups received adequate humanitarian
assistance
plot_select_one(datalist, dico, "group_xt46l40.adequate_assistance", datasource = params$datasource, n = 5)
What
kind of support have they received from the humanitarian partners
plot_select_multiple(datalist, dico, "group_xt46l40.assistance_received", datasource=params$datasource, n=5)
Use CE, gate keepers, community elders, religious elders in providing
assitance
plot_select_one(datalist, dico, "group_xt46l40.community_leaders_assistance", datasource = params$datasource, n = 5)
Challenges
receiving HA from the community leaders, gate keepers, CE, CA
plot_select_multiple(datalist, dico, "group_xt46l40.challenges", datasource=params$datasource, n=5)
If Other ? Please specify.
plot_text(datalist, dico, "group_xt46l40.If_Other_Please_specify_002", datasource=params$datasource)
You selected - Abuse and exploitation, who is committing the incidences?
plot_select_multiple(datalist, dico, "group_xt46l40.perpetrators_Abuse_and_exploit", datasource=params$datasource, n=5)
If Others (Abuse and exploitation)
plot_text(datalist, dico, "group_xt46l40.If_Others_Abuse_and_exploitation", datasource=params$datasource)
You selected - Aid Diversion, who is committing the incidences?
plot_select_multiple(datalist, dico, "group_xt46l40.perpetrators_Aid_Diversion", datasource=params$datasource, n=5)
If Others (Aid Diversion)
plot_text(datalist, dico, "group_xt46l40.If_Others_Aid_Diversion", datasource=params$datasource)
You selected - Corruption, who is committing the incidences?
plot_select_multiple(datalist, dico, "group_xt46l40.perpetrators_corruption", datasource=params$datasource, n=5)
If Others (Corruption)
plot_text(datalist, dico, "group_xt46l40.If_Others_Abuse_and_exploitation_001", datasource=params$datasource)
You selected - Discrimination, who is committing the incidences?
plot_select_multiple(datalist, dico, "group_xt46l40.perpetrators_discrimination", datasource=params$datasource, n=5)
No
significant text for the question:
group_xt46l40.If_Others_DiscriminationNULL You selected - Harassment
and intimidation, who is committing the incidences?
plot_select_multiple(datalist, dico, "group_xt46l40.perpetrators_harassment_intimidation", datasource=params$datasource, n=5)
If Others (Harassmenta and Intimidation)
plot_text(datalist, dico, "group_xt46l40.If_Others_harassment_intimidation", datasource=params$datasource)
You selected - Lack of information, who is committing the incidences?
plot_select_multiple(datalist, dico, "group_xt46l40.perpetrators_lack_of_information", datasource=params$datasource, n=5)
If Others (Lack of information)
plot_text(datalist, dico, "group_xt46l40.If_Others_lack_of_information", datasource=params$datasource)
You selected - Security concerns, who is committing the incidences?
plot_select_multiple(datalist, dico, "group_xt46l40.perpetrators_security_concerns", datasource=params$datasource, n=5)
If Others (Security concerns)
plot_text(datalist, dico, "group_xt46l40.If_Others_security_concerns", datasource=params$datasource)
——
How effective do you believe the current efforts of the humanitarian community are in addressing the exclusion and denial of assistance?
Prioritizing at risk of exclusion from assistance, such as the
minority groups
plot_select_one(datalist, dico, "group_xt46l40.How_effective_do_you_denial_of_assistance.a_Prioritizing_thos_the_minority_groups", datasource = params$datasource, n = 5)
b. Beneficiary selection based on their vulnerability.
plot_select_one(datalist, dico, "group_xt46l40.How_effective_do_you_denial_of_assistance.b_Beneficiary_selec_their_vulnerability", datasource = params$datasource, n = 5)
Training on protection, inclusivity and equality.
plot_select_one(datalist, dico, "group_xt46l40.How_effective_do_you_denial_of_assistance.c_Targeting_gatekee_usivity_and_equality", datasource = params$datasource, n = 5)
d. Reporting mechanism on cases of exclusion, aid diversion, corruption,
fraud
plot_select_one(datalist, dico, "group_xt46l40.How_effective_do_you_denial_of_assistance.d_Reporting_mechani_n_corruption_fraud", datasource = params$datasource, n = 5)
Reporting mechanism on cases of harassment, intimidation, abuse,
exploi& abuse
plot_select_one(datalist, dico, "group_xt46l40.How_effective_do_you_denial_of_assistance.e_Reporting_mechani_tion_and_corruption", datasource = params$datasource, n = 5)
f. Partners/Organizations field presence that engages the community
directly
plot_select_one(datalist, dico, "group_xt46l40.How_effective_do_you_denial_of_assistance.f_Partners_Organiza_e_community_directly", datasource = params$datasource, n = 5)
Direct channels of communication with the community on beneficiary
entitlement
plot_select_one(datalist, dico, "group_xt46l40.How_effective_do_you_denial_of_assistance.g_Partners_Organiza_ciary_entitlement_on", datasource = params$datasource, n = 5)
h. Working with community structures such as community committees or
community
plot_select_one(datalist, dico, "group_xt46l40.How_effective_do_you_denial_of_assistance.h_Working_with_comm_mittees_or_community", datasource = params$datasource, n = 5)
Sharing key messages reporting abuse and exploitation.
plot_select_one(datalist, dico, "group_xt46l40.How_effective_do_you_denial_of_assistance.i_Partners_Organiza_use_and_exploitation", datasource = params$datasource, n = 5)
Sharing key messages on inclusion, fraud, aid diversion, corruption.
plot_select_one(datalist, dico, "group_xt46l40.How_effective_do_you_denial_of_assistance.j_Partners_Organiza_iversion_corruption", datasource = params$datasource, n = 5)
If you answered either of the above, state your overall reasons why?
plot_text(datalist, dico, "group_xt46l40.reasons_for_effectiveness", datasource=params$datasource)
Summrized using AI and Text Analytics
Lack of Knowledge or Uncertainty: A significant portion of respondents expressed uncertainty, with "I don't know" or "None" being frequent responses, indicating a lack of clarity or awareness regarding the effectiveness of the humanitarian efforts.
Field Presence and Direct Engagement: Some respondents highlighted the field presence of partners/organizations that engage the community directly as being very effective. Direct contact with the community was seen as a positive way to address exclusion.
Beneficiary Selection Issues: Several respondents mentioned challenges during beneficiary selection, pointing to instances where vulnerability is not properly considered, leading to exclusion.
Corruption and Gatekeepers: Corruption was mentioned as a factor affecting the effectiveness of humanitarian efforts, with some respondents citing gatekeepers or local power structures that exploit or manipulate the system, creating barriers to assistance.
Lack of Information and Awareness: Lack of information and community awareness were commonly cited as barriers to the effectiveness of humanitarian efforts. Many felt that insufficient outreach or communication was a root cause of exclusion.
Reporting Mechanisms: Several respondents referred to reporting mechanisms for cases of harassment, abuse, and exploitation. While these systems are acknowledged, some expressed concerns about their effectiveness in addressing issues like corruption.
Community Engagement:A smaller but notable group of respondents highlighted the importance of community engagement and participation in decision-making as a way to improve the effectiveness of humanitarian assistance.
These responses reflect a mixed perception of the humanitarian community’s efforts, with key themes around corruption, beneficiary selection, and lack of information as major barriers to effectiveness. On the other hand, direct engagement and reporting mechanisms were seen as somewhat effective tools in addressing exclusion and denial of assistance.
plot_text(datalist, dico, "group_xt46l40.recommendations_engagement", datasource=params$datasource)
Here is a summary of the most common recommendations for how partners and organizations should engage with affected populations to ensure they are not excluded or denied assistance, based on the survey responses: plot_select_one(datalist, dico, "group_xt46l40.engagement_frequency", datasource = params$datasource, n = 5)
Believe partners/organizations program or distribution beneficiaries
fairly
plot_select_one(datalist, dico, "group_xt46l40.fairness_selection", datasource = params$datasource, n = 5)
Receive the expected package/resources from partners/organizations?
plot_select_one(datalist, dico, "group_xt46l40.assistance_received_001", datasource = params$datasource, n = 5)
Know where to lodge a complaint or provide feedback to a humanitarian
actor?
plot_select_one(datalist, dico, "group_xt46l40.complaint_lodging", datasource = params$datasource, n = 5)
plot_text(datalist, dico, "group_xt46l40.community_assistance", datasource=params$datasource)
Here is a summary of the most common responses regarding how the community assists those who are excluded or denied assistance, based on the survey data: plot_select_multiple(datalist, dico, "group_xt46l40.displacement_risks", datasource=params$datasource, n=5)
If Others. Please specify.
plot_text(datalist, dico, "group_xt46l40.If_Others_Please_specify_002", datasource=params$datasource)
plot_text(datalist, dico, "group_xt46l40.reasons_for_risks", datasource=params$datasource)
Here is a detailed summary of the most common reasons for protection risks identified in the data:plot_text(datalist, dico, "group_xt46l40.positive_coping", datasource=params$datasource)
Daily Work and Casual Labor: A significant number of respondents engage in daily work or casual labor as a primary means of coping. This includes both formal and informal work, helping individuals maintain a sense of normalcy and purpose. plot_text(datalist, dico, "group_xt46l40.negative_coping", datasource=params$datasource)
Here is a summary of the most common negative coping mechanisms reported by the displaced population, based solely on the survey responses: plot_select_multiple(datalist, dico, "group_xt46l40.info_platforms", datasource=params$datasource, n=5)
If Others ? Please specify.
plot_text(datalist, dico, "group_xt46l40.If_Others_Please_specify_003", datasource=params$datasource)
Are there any programs in place to address negative coping mechanisms
plot_select_one(datalist, dico, "group_xt46l40.negative_coping_programs", datasource = params$datasource, n = 5)
If yes, what programs?
plot_text(datalist, dico, "group_xt46l40.types_of_programs", datasource=params$datasource)
If yes, how effective are these programs?
plot_select_one(datalist, dico, "group_xt46l40.effectiveness_programs", datasource = params$datasource, n = 5)
Which
protection integrated programme is serving your community
plot_select_multiple(datalist, dico, "group_xt46l40.protection_integrated_programs", datasource=params$datasource, n=5)
Community experienced armed conflict in the last 6 months
plot_select_one(datalist, dico, "group_xt46l40.armed_conflict", datasource = params$datasource, n = 5)
If
yes, what type of armed conflict was it? (Select all that apply)
plot_select_multiple(datalist, dico, "group_xt46l40.conflict_types", datasource=params$datasource, n=5)
If Other ? Please specify
plot_text(datalist, dico, "group_xt46l40.If_Other_Please_specify_003", datasource=params$datasource)
Were there any civilian casualties during the conflict? (Select all that
apply)
plot_select_multiple(datalist, dico, "group_xt46l40.civilian_casualties", datasource=params$datasource, n=5)
If Other ? Please specify.
plot_text(datalist, dico, "group_xt46l40.If_Other_Please_specify_004", datasource=params$datasource)
What was the effect of the conflict on affected civilians? (Select one)
plot_select_one(datalist, dico, "group_xt46l40.conflict_effect", datasource = params$datasource, n = 5)
Civilian
objects/properties impacted by the conflict
plot_select_multiple(datalist, dico, "group_xt46l40.civilian_objects", datasource=params$datasource, n=5)
If Other ? Please specify..
plot_text(datalist, dico, "group_xt46l40.If_Other_Please_specify_005", datasource=params$datasource)
For Other ?? Please specify.
plot_select_one(datalist, dico, "group_xt46l40.For_Other_Please_specify", datasource = params$datasource, n = 5)
Consequencees of the attacked on the civilian object (Civilian homes)
plot_select_one(datalist, dico, "group_xt46l40.What_are_the_consequ_ject_Civilian_homes", datasource = params$datasource, n = 5)
Consequencees of the attacked on the civilian object (Population
settlement)
plot_select_one(datalist, dico, "group_xt46l40.What_are_the_consequ_opulation_settlement", datasource = params$datasource, n = 5)
What are the consequencees of the attacked on the civilian object
(Hospital)
plot_select_one(datalist, dico, "group_xt46l40.What_are_the_consequ_ian_object_Hospital", datasource = params$datasource, n = 5)
What are the consequencees of the attacked on the civilian object
(School)
plot_select_one(datalist, dico, "group_xt46l40.What_are_the_consequ_ilian_object_School", datasource = params$datasource, n = 5)
What are the consequencees of the attacked on the civilian object (IDP
Camp)
plot_select_one(datalist, dico, "group_xt46l40.What_are_the_consequ_ian_object_IDP_Camp", datasource = params$datasource, n = 5)
Consequencees of the attacked on the civilian object (Aid distribution
centers)
plot_select_one(datalist, dico, "group_xt46l40.What_are_the_consequ_distribution_centers", datasource = params$datasource, n = 5)
Consequencees of the attacked on the civilian object (Reception center)
plot_select_one(datalist, dico, "group_xt46l40.What_are_the_consequ_ct_Reception_center", datasource = params$datasource, n = 5)
Consequencees of the attacked on the civilian object (Religious
Facility)
plot_select_one(datalist, dico, "group_xt46l40.What_are_the_consequ_Religious_Facility", datasource = params$datasource, n = 5)
Consequencees of the attacked on the civilian object (Water
facility/boreholes)
plot_select_one(datalist, dico, "group_xt46l40.What_are_the_consequ_r_facility_boreholes", datasource = params$datasource, n = 5)
Were the people in need able to access the partners/organizations?
(Select one)
plot_select_one(datalist, dico, "group_xt46l40.access", datasource = params$datasource, n = 5)
plot_text(datalist, dico, "group_xt46l40.community_protection", datasource=params$datasource)
Here is a summary of the most common actions taken by the community to protect themselves during armed conflict, based on the survey responses: plot_select_one(datalist, dico, "group_xt46l40.atm_presence", datasource = params$datasource, n = 5)
If
Yes ? Select all that apply.
plot_select_multiple(datalist, dico, "group_xt46l40.If_Yes_Select_all_that_apply", datasource=params$datasource, n=5)
If Other ? Please specify..
plot_text(datalist, dico, "group_xt46l40.If_Other_Please_specify_006", datasource=params$datasource)
Concerns on the closure of ATMIS Forward Operating Bases (FOBs) in your
area
plot_select_one(datalist, dico, "group_xt46l40.atm_closure", datasource = params$datasource, n = 5)
If Other ? Please specify..
plot_text(datalist, dico, "group_xt46l40.If_Other_Please_specify_007", datasource=params$datasource)
Give reasons for Yes or No.
plot_text(datalist, dico, "group_xt46l40.closure_reasons", datasource=params$datasource)
Efforts of the hum community in addressing protection risks in your area
plot_select_one(datalist, dico, "group_xt46l40.perception", datasource = params$datasource, n = 5)
plot_text(datalist, dico, "group_xt46l40.recommendations_improvement", datasource=params$datasource)
Here is a summary of the most common recommendations for improving humanitarian assistance and protection in the community, based on the survey responses: plot_select_one(datalist, dico, "group_xt46l40.update", datasource = params$datasource, n = 5)
No
significant text for the question:
group_xt46l40.phone_numberNULL
2 groups of likert questions in the
formplot_likert(datalist, dico, scopei="group_xt46l40", list_namei="fh0oh18", repeatvari="main",datasource=params$datasource)
plot_likert(datalist, dico, scopei="group_xt46l40.How_effective_do_you_denial_of_assistance", list_namei="hb8kc42", repeatvari="main",datasource=params$datasource)
This data crunching report allows to quickly explore the results of the survey published in RIDL. It can be regenerated as needed based on the analysis plan you did set up. The objective of this report is to allow to quickly identify potential patterns in your dataset. A quick screening of this initial report should allow to select the most meaningful graphs.
The crunching process produces a lot of visuals. Therefore it is key to carefully select the most relevant visual that will be presented for potential interpretation in the next step. To do so, you simply copy-paste the short syntax in a second notebook to generate as powerpoint presentation. A typical data interpretation session shall not last more than 2hours and include more than 60 visuals to look at in order to keep participants with a good focus level.
In order to guide this selection phase, data experts, in collaboration with the data analysis group, can use the following elements:
For numeric value, check the frequency distributions of each variable to average, deviation, including outlier and oddities
For categorical variables, check for unexpected values: any weird results based on common sense expectations
Use correlation analysis to check for potential contradictions in respondents answers to different questions for identified associations (chi-square)
Always, Check for missing data (NA) or “%of respondent who answered” that you cannot confidently explain
Check unanswered questions, that corresponds to unused skip logic in the questionnaire: For instance, did a person who was never displaced answer displacement-related questions? Were employment-related answers provided for a toddler?
When analyzing those representations in a collective setting during data interpretation sessions, you may:
Reflect: question data quality and/or make suggestions to adjust questions, identify additional cleaning steps;
Interpret: develop qualitative interpretations of data patterns;
Recommend: suggest recommendations in terms of programmatic adjustment;
Classify: define level of sensitivity for certain topics if required;
The report can be regenerated as needed by:
adjusting the report configuration in the xlsform to break it into report and chapter;
configuring disaggregation & correlation for each question;
revising the data cleansing based on the cleaning log;
appending calculated indicators to your data frame to reshape variable - also called feature engineering.